<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/b47bc3439690499d8591c6a157622bb8&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b47bc3439690499d8591c6a157622bb8-f81e667229c49295.gif</thumbnail_url><duration>104.1905</duration><title>Understanding Stockfisher: AI-Powered Forecasting for S&amp;amp;P 500 Companies 📈</title><description>In this video, I walk you through how Stockfisher operates, utilizing AI to forecast long-term business fundamentals for every company in the S&amp;P 500, including revenue, net margin, and payout ratio. For instance, when examining an individual company, you can see a median revenue forecast of 669 billion along with an 80-20 confidence interval. We also calculate future cash flow forecasts and internal investment returns for long-term stockholders. I encourage you to explore the detailed forecasts and summaries of the rationale behind them. If you&apos;re on a free account like I am, you&apos;ll be able to view forecasts for 50 companies, but I recommend checking out the sorting features for net margin, revenue, and returns.</description></oembed>